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Research Interests:

 

During my time in the Buckler lab, I focused on transferring knowledge across species and domains. I built a Practical Haplotype Graph (PHG) in sorghum, used it to impute genotypes from low-coverage sequence data, and showed that the imputed genotypes could be used for genomic selection. I also worked on multiple projects studying molecular adaptation to high temperature. These projects used evolutionary trends in prokaryotic species to predict Pfam domain adaptation and then build profiles of Pfam adaptation for higher eukaryotes and plants. I currently work as a data scientist on the Discovery Breeding team at Syngenta.

Education:

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• Ph.D. in Plant Breeding and Genetics, Cornell University

• B.A. in Biochemistry and Chinese, Grinnell College

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Awards:

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• The 2018 Frosty Hill Fellowship for study at ICRISAT

• The 2020  Barbara McClintock Graduate Student Award

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Publications:

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Cimen, E; Jensen, S. E.; Buckler, E. S. (2020). "Building a tRNA thermometer to estimate microbial adaptation to temperature", Nucleic Acids Research, Volume 48, Issue 21, Pages 12004–12015, https://doi.org/10.1093/nar/gkaa1030

 

Jensen, S. E.; Charles, J. R.; Muleta, K.; Bradbury, P. J.; Casstevens, T; Deshpande, S. P.; Gore, M. A.; Gupta, R.; Ilut, D. C.; Johnson, L.; Lozano, R.; Miller, Z.; Ramu, P.; Rathore, A.; Romay, M. C.; Upadhyaya, H. D.; Varshney, R.; Morris, G. P.; Pressoir, G.; Buckler, E. S.; Ramstein, Guillaume P. (2020). “A Sorghum Practical Haplotype Graph Facilitates Genome-wide Imputation and Cost-Effective Genomic Prediction.” The Plant Genome, https://doi.org/10.1002/tpg2.20009

Ramstein, G. P.; Jensen, S. E.; Buckler, E. S. (2019). “Breaking the curse of dimensionality to identify causal variants in Breeding 4.” Theoretical and Applied Genetics, 132(3):559-567​

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